Map the process
trigger, data, rules, expected result and manual steps.
The AI Automation course explores task automation with n8n, Make and Zapier. Connect forms, data and AI services in manageable workflows with error handling, approvals and monitoring.

Automating a process takes more than connecting two applications. The programme covers data, conditions, errors and responsibilities before enabling a workflow.
trigger, data, rules, expected result and manual steps.
connectors, webhooks, transformations, conditions and platform comparison.
classification, summaries and drafts with input controls and output validation.
errors, retries, duplicates, logs, permissions and approval of sensitive actions.
Build a demonstration flow that receives a request, classifies it, prepares a draft and requests review before sending, while recording outcomes and errors.
No. The platforms are compared and a suitable exercise environment is chosen. Costs, limits and connector availability are checked separately.
The programme covers controls, error handling and maintenance. Flows need ongoing review, particularly when data or connected services change.
Use the form on this page to describe your needs and starting level. The school will confirm availability, duration, delivery arrangements, tool requirements and course conditions.
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